{
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  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# **Reproduction instructions**"
      ],
      "metadata": {
        "id": "6ZNDh7d5-Tud"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Data and models are taken from a google drive and thus, we mount the drive to the notebook first. If you load the data and models from a different drive, please adjust the mount accordingly."
      ],
      "metadata": {
        "id": "-UxWUAUN9_Nm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Required data:\n",
        "\n",
        "**Annotated data | part 1**\n",
        "\n",
        "  - media_df = Annotationen_media_articles_with_metadata_final.xlsx\n",
        "  - parties_df = Annotationen_random_selection_parties.xlsx\n",
        "\n",
        "**The topic model | part 1**\n",
        "\n",
        "  - topic_classifier_tfidf_logreg.pkl\n",
        "\n",
        "**Corpus data | part 1.1, 1.2**\n",
        "\n",
        "  - Media: newspaper_v2_allsources_2025-02-01.feather\n",
        "  - Parties: Annotationen_random_selection_parties.xlsx  (***Note***: the annotations have been done in the full corpus data file and thus it equals the annotation data)\n",
        "\n",
        "**Overview graphs | part 2**\n",
        "\n",
        "  - Parties: ml_predictions_metadata.xlsx\n",
        "  - Media: media_ml_predictions_with_metadata_revised.xlsx\n",
        "  - Interest groups: Data imbuild in graph code"
      ],
      "metadata": {
        "id": "Bv0Kt1kJBQC8"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "leynZnQ_5kun",
        "outputId": "455cf42c-7715-4f58-a951-3f9805a9c067"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1.Topic classifier"
      ],
      "metadata": {
        "id": "dWQjh9u66JGo"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "A startified random sample has been drawn for annotations. These annotations include the assessment of the right topic. Thus, whether a document is really about the heating law. We use these annotations here to build a topic model that is able to predict the prevalance of the topic in the full corpus.\n",
        "\n",
        "For the media data \"Annotationen_media_articles_with_metadata_final\" the variable \"thema_korrekt\" (==1) entails the positive topic label, zeros indicate negative labels.\n",
        "\n",
        "For the party statement data \"Annotationen_random_selection_parties\" the variable  \"text_annotiert\" != \"\" or \"-\" are the negative input labels as non-annotated texts are those who are off-topic. Annotated texts are indicative of a positive label.  "
      ],
      "metadata": {
        "id": "WbHBMU2i6RC_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -U scikit-learn pandas transformers datasets"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "collapsed": true,
        "id": "PV8C389m6L1v",
        "outputId": "79cd0d85-b103-4ab9-d1a2-dcf161207e21"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
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            "    Found existing installation: pyarrow 18.1.0\n",
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            "    Found existing installation: scikit-learn 1.6.1\n",
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            "      Successfully uninstalled scikit-learn-1.6.1\n",
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            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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            "bqplot 0.12.45 requires pandas<3.0.0,>=1.0.0, but you have pandas 3.0.0 which is incompatible.\n",
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            "\u001b[0mSuccessfully installed datasets-4.5.0 pandas-3.0.0 pyarrow-23.0.0 scikit-learn-1.8.0 transformers-5.1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We load the media and party data as input data for the topic model"
      ],
      "metadata": {
        "id": "pm62-6yL6Z5v"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the two datasets (adjust paths as needed)\n",
        "media_df = pd.read_excel('/content/drive/Annotationen_media_articles_with_metadata_final.xlsx')\n",
        "parties_df = pd.read_excel('/content/drive/Bundestag Parties & Factions Websites/Annotationen_random_selection_parties.xlsx')"
      ],
      "metadata": {
        "id": "DjJFAgBU6elt"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Clean and label media data\n",
        "media_df = media_df[['text', 'thema_korrekt']].dropna()\n",
        "media_df['label'] = media_df['thema_korrekt'].astype(int)  # 1 if True, 0 if False\n",
        "\n",
        "# Clean and label party data\n",
        "parties_df = parties_df[['text', 'text_annotiert']].dropna()\n",
        "parties_df['label'] = parties_df['text_annotiert'].apply(lambda x: 0 if x in [\"\", \"-\"] else 1)\n",
        "\n",
        "# Combine datasets\n",
        "combined_df = pd.concat([media_df[['text', 'label']], parties_df[['text', 'label']]])\n",
        "combined_df = combined_df.dropna().reset_index(drop=True)\n",
        "\n"
      ],
      "metadata": {
        "id": "9bqq1ra96jGn"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(\n",
        "    combined_df['text'], combined_df['label'], test_size=0.2, random_state=42, stratify=combined_df['label']\n",
        ")"
      ],
      "metadata": {
        "id": "vVp_vbeV6l6O"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.metrics import classification_report\n",
        "\n",
        "# Build pipeline\n",
        "clf = Pipeline([\n",
        "    ('tfidf', TfidfVectorizer(max_features=5000, ngram_range=(1, 2))),\n",
        "    ('logreg', LogisticRegression(class_weight='balanced', max_iter=1000))\n",
        "])\n",
        "\n",
        "# Train\n",
        "clf.fit(X_train, y_train)\n",
        "\n",
        "# Evaluate\n",
        "y_pred = clf.predict(X_test)\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RJT44DJm6nxp",
        "outputId": "0259c6e4-120c-44a9-9503-18326c080d6b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.81      0.74      0.77        23\n",
            "           1       0.77      0.83      0.80        24\n",
            "\n",
            "    accuracy                           0.79        47\n",
            "   macro avg       0.79      0.79      0.79        47\n",
            "weighted avg       0.79      0.79      0.79        47\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The performance values above are reported in the Appendix part A.1."
      ],
      "metadata": {
        "id": "JPNdfa_p75GZ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "This is how we would save the topic model to role out predictions in the full corpus below."
      ],
      "metadata": {
        "id": "1kJLvHpF8GZy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import joblib\n",
        "\n",
        "# Save the model pipeline\n",
        "# model_path = '/content/drive/MyDrive/ZFP Projekt/WP 2 - Group Appeal Data/topic_classifier_tfidf_logreg.pkl'\n",
        "# joblib.dump(clf, model_path)\n",
        "\n",
        "# print(f\"Model saved to: {model_path}\")"
      ],
      "metadata": {
        "id": "fnbqLyEe6p7_"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.1 Predict \"heating law\" topic in media and party full sample"
      ],
      "metadata": {
        "id": "eNwn8ydr6uPL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "First we load the topic model as trained above"
      ],
      "metadata": {
        "id": "sEOYy8D29nwd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import joblib\n",
        "\n",
        "# Load the saved model\n",
        "clf_loaded = joblib.load('/content/drive/topic_classifier_tfidf_logreg.pkl')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "N8rb0Rh668Z_",
        "outputId": "cc44b2c9-86d2-482f-b84e-9dc50e8cdbca"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator TfidfTransformer from version 1.7.0 when using version 1.8.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator TfidfVectorizer from version 1.7.0 when using version 1.8.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator LogisticRegression from version 1.7.0 when using version 1.8.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.12/dist-packages/sklearn/base.py:463: InconsistentVersionWarning: Trying to unpickle estimator Pipeline from version 1.7.0 when using version 1.8.0. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to:\n",
            "https://scikit-learn.org/stable/model_persistence.html#security-maintainability-limitations\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Topic prediction in media data"
      ],
      "metadata": {
        "id": "JrPbSOcYxxSt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the feather file\n",
        "media_df = pd.read_feather('/content/drive/newspaper_v2_allsources_2025-02-01.feather')\n",
        "\n",
        "# Preview\n",
        "media_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "nCUziYmZ6-7a",
        "outputId": "0768cd76-8a5a-4a87-95a8-a94bb7dc5162"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                        source  newspaper        date  \\\n",
              "0  Titelseite; S. 1; Ausg. 276  BILD Bund  2023-11-25   \n",
              "1              Politik; S. NaN    BILD.de  2023-09-09   \n",
              "2               Berlin; S. NaN    BILD.de  2023-09-21   \n",
              "3            Stuttgart; S. NaN    BILD.de  2023-05-24   \n",
              "4                 Geld; S. NaN    BILD.de  2024-05-14   \n",
              "\n",
              "                                            author  \\\n",
              "0  Von Burkhard Uhlenbroich Und Angelika Hellemann   \n",
              "1                                  Felix Rupprecht   \n",
              "2                                Michael Sauerbier   \n",
              "3                                              NaN   \n",
              "4                                     Diana Kassal   \n",
              "\n",
              "                                               title  \\\n",
              "0  Kubicki- Hammer zum Ampel- Chaos; Heizgesetz m...   \n",
              "1  Umfrage-Hammer nach Bundestags-Beschluss; Mehr...   \n",
              "2  \"Traurig und völlig verpatzt\"; Brandenburg wil...   \n",
              "3   Heizungsgesetz; Kretschmann zweifelt am Zeitplan   \n",
              "4  Heizungsgesetz-GAU; Wärmepumpen-Produzent Vail...   \n",
              "\n",
              "                                                text  \n",
              "0  Kubickis Knallhart-Aussage vom Kreuzfahrtschif...  \n",
              "1  Das Heiz-Gesetz ist beschlossen - doch der Rüc...  \n",
              "2  Brandenburg - Der Ärger über das neue Heizungs...  \n",
              "3  \"Ich würde dem Minister und seinem Haus empfeh...  \n",
              "4  Die Debatte ums Heizungsgesetz hat bei den Ver...  "
            ],
            "text/html": [
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>source</th>\n",
              "      <th>newspaper</th>\n",
              "      <th>date</th>\n",
              "      <th>author</th>\n",
              "      <th>title</th>\n",
              "      <th>text</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Titelseite; S. 1; Ausg. 276</td>\n",
              "      <td>BILD Bund</td>\n",
              "      <td>2023-11-25</td>\n",
              "      <td>Von Burkhard Uhlenbroich Und Angelika Hellemann</td>\n",
              "      <td>Kubicki- Hammer zum Ampel- Chaos; Heizgesetz m...</td>\n",
              "      <td>Kubickis Knallhart-Aussage vom Kreuzfahrtschif...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Politik; S. NaN</td>\n",
              "      <td>BILD.de</td>\n",
              "      <td>2023-09-09</td>\n",
              "      <td>Felix Rupprecht</td>\n",
              "      <td>Umfrage-Hammer nach Bundestags-Beschluss; Mehr...</td>\n",
              "      <td>Das Heiz-Gesetz ist beschlossen - doch der Rüc...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Berlin; S. NaN</td>\n",
              "      <td>BILD.de</td>\n",
              "      <td>2023-09-21</td>\n",
              "      <td>Michael Sauerbier</td>\n",
              "      <td>\"Traurig und völlig verpatzt\"; Brandenburg wil...</td>\n",
              "      <td>Brandenburg - Der Ärger über das neue Heizungs...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Stuttgart; S. NaN</td>\n",
              "      <td>BILD.de</td>\n",
              "      <td>2023-05-24</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Heizungsgesetz; Kretschmann zweifelt am Zeitplan</td>\n",
              "      <td>\"Ich würde dem Minister und seinem Haus empfeh...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Geld; S. NaN</td>\n",
              "      <td>BILD.de</td>\n",
              "      <td>2024-05-14</td>\n",
              "      <td>Diana Kassal</td>\n",
              "      <td>Heizungsgesetz-GAU; Wärmepumpen-Produzent Vail...</td>\n",
              "      <td>Die Debatte ums Heizungsgesetz hat bei den Ver...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "media_df = media_df.dropna(subset=['text'])\n"
      ],
      "metadata": {
        "id": "803fa-CiBKaB"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Predict topic relevance\n",
        "media_df['predicted_label'] = clf_loaded.predict(media_df['text'])\n",
        "\n",
        "# Optional: Get prediction probabilities\n",
        "media_df['prob_on_topic'] = clf_loaded.predict_proba(media_df['text'])[:, 1]  # Probability it's on-topic"
      ],
      "metadata": {
        "id": "Pb7SwxTd7CsO"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "media_df['source_type'] = 'media'\n",
        "\n",
        "print(media_df['predicted_label'].value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dqkILd8G7FN8",
        "outputId": "2fd1abb5-1242-472e-a90b-a97cf6f95186"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "predicted_label\n",
            "0    3322\n",
            "1    2027\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Topic prediciton in partisan statements"
      ],
      "metadata": {
        "id": "sLKVY-6HxsfY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the feather file\n",
        "parties_df = pd.read_excel('/content/drive/Bundestag Parties & Factions Websites/Annotationen_random_selection_parties.xlsx')\n",
        "\n",
        "# Preview\n",
        "parties_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "collapsed": true,
        "id": "TfnAvbMB7HRt",
        "outputId": "90a853a2-9405-421d-dfcf-ec796273db36"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     X partei     ebene                                               text  \\\n",
              "0  400    AfD  Fraktion  Berlin, 05. November 2024.\\n\\n\\n\\nI. Der Deuts...   \n",
              "1  330    AfD  Fraktion  Berlin 1. November 2021. Vor dem Hintergrund d...   \n",
              "2  383    AfD  Fraktion  Berlin, 7. Juli 2023. Zur Diskussion um die Ei...   \n",
              "3  426    AfD  Fraktion  Berlin, 28. Juni 2023. Die Koalitionsfraktione...   \n",
              "4  416    AfD  Fraktion  Berlin, 3. April 2023. Zur anhaltenden Debatte...   \n",
              "\n",
              "   typ heizung_only                                              title  \\\n",
              "0  NaN          YES       Bepreisung statt Erhöhung zum 1. Januar 2025   \n",
              "1  NaN           NO          Papier gegen soziale Folgen der Inflation   \n",
              "2  NaN          YES  Albrecht Glaser: Gesetzgebungsverfahren müssen...   \n",
              "3  NaN          YES  Alice Weidel: Das Heizungsgesetz gehört ersatz...   \n",
              "4  NaN          YES  Alice Weidel: Heizungspläne der Ampel sind ein...   \n",
              "\n",
              "                                                 url date_clean  \\\n",
              "0  https://afdbundestag.de/abschaffung-der-co2-be... 2024-11-12   \n",
              "1  https://afdbundestag.de/afd-fraktion-beschlies... 2021-11-01   \n",
              "2  https://afdbundestag.de/albrecht-glaser-gesetz... 2023-07-07   \n",
              "3  https://afdbundestag.de/alice-weidel-das-heizu... 2023-06-28   \n",
              "4  https://afdbundestag.de/alice-weidel-heizungsp... 2023-04-03   \n",
              "\n",
              "  partei_gruppiert  random_draw coder text_annotiert  \\\n",
              "0              AfD            0   NaN            NaN   \n",
              "1              AfD            0   NaN            NaN   \n",
              "2              AfD            0   NaN            NaN   \n",
              "3              AfD            0   NaN            NaN   \n",
              "4              AfD            0   NaN            NaN   \n",
              "\n",
              "  Notes (for example if content is not of our focus)  Label other  \n",
              "0                                                NaN          NaN  \n",
              "1                                                NaN          NaN  \n",
              "2                                                NaN          NaN  \n",
              "3                                                NaN          NaN  \n",
              "4                                                NaN          NaN  "
            ],
            "text/html": [
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              "    }\n",
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              "</style>\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>X</th>\n",
              "      <th>partei</th>\n",
              "      <th>ebene</th>\n",
              "      <th>text</th>\n",
              "      <th>typ</th>\n",
              "      <th>heizung_only</th>\n",
              "      <th>title</th>\n",
              "      <th>url</th>\n",
              "      <th>date_clean</th>\n",
              "      <th>partei_gruppiert</th>\n",
              "      <th>random_draw</th>\n",
              "      <th>coder</th>\n",
              "      <th>text_annotiert</th>\n",
              "      <th>Notes (for example if content is not of our focus)</th>\n",
              "      <th>Label other</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>400</td>\n",
              "      <td>AfD</td>\n",
              "      <td>Fraktion</td>\n",
              "      <td>Berlin, 05. November 2024.\\n\\n\\n\\nI. Der Deuts...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>YES</td>\n",
              "      <td>Bepreisung statt Erhöhung zum 1. Januar 2025</td>\n",
              "      <td>https://afdbundestag.de/abschaffung-der-co2-be...</td>\n",
              "      <td>2024-11-12</td>\n",
              "      <td>AfD</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>330</td>\n",
              "      <td>AfD</td>\n",
              "      <td>Fraktion</td>\n",
              "      <td>Berlin 1. November 2021. Vor dem Hintergrund d...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NO</td>\n",
              "      <td>Papier gegen soziale Folgen der Inflation</td>\n",
              "      <td>https://afdbundestag.de/afd-fraktion-beschlies...</td>\n",
              "      <td>2021-11-01</td>\n",
              "      <td>AfD</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>383</td>\n",
              "      <td>AfD</td>\n",
              "      <td>Fraktion</td>\n",
              "      <td>Berlin, 7. Juli 2023. Zur Diskussion um die Ei...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>YES</td>\n",
              "      <td>Albrecht Glaser: Gesetzgebungsverfahren müssen...</td>\n",
              "      <td>https://afdbundestag.de/albrecht-glaser-gesetz...</td>\n",
              "      <td>2023-07-07</td>\n",
              "      <td>AfD</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>426</td>\n",
              "      <td>AfD</td>\n",
              "      <td>Fraktion</td>\n",
              "      <td>Berlin, 28. Juni 2023. Die Koalitionsfraktione...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>YES</td>\n",
              "      <td>Alice Weidel: Das Heizungsgesetz gehört ersatz...</td>\n",
              "      <td>https://afdbundestag.de/alice-weidel-das-heizu...</td>\n",
              "      <td>2023-06-28</td>\n",
              "      <td>AfD</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>416</td>\n",
              "      <td>AfD</td>\n",
              "      <td>Fraktion</td>\n",
              "      <td>Berlin, 3. April 2023. Zur anhaltenden Debatte...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>YES</td>\n",
              "      <td>Alice Weidel: Heizungspläne der Ampel sind ein...</td>\n",
              "      <td>https://afdbundestag.de/alice-weidel-heizungsp...</td>\n",
              "      <td>2023-04-03</td>\n",
              "      <td>AfD</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "parties_df = parties_df.dropna(subset=['text'])"
      ],
      "metadata": {
        "id": "_vO1rHySBrws"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Predict topic relevance\n",
        "parties_df['predicted_label'] = clf_loaded.predict(parties_df['text'])\n",
        "\n",
        "# Optional: Get prediction probabilities\n",
        "parties_df['prob_on_topic'] = clf_loaded.predict_proba(parties_df['text'])[:, 1]  # Probability it's on-topic"
      ],
      "metadata": {
        "id": "t8ZltG1R7LB2"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "parties_df = parties_df.rename(columns={'date_clean': 'date'})"
      ],
      "metadata": {
        "id": "Xt0eMbVR7NYK"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Ensure dates are in datetime format\n",
        "media_df['date'] = pd.to_datetime(media_df['date'], errors='coerce')\n",
        "parties_df['date'] = pd.to_datetime(parties_df['date'], errors='coerce')\n",
        "\n",
        "# Filter only predicted positive labels\n",
        "media_topic = media_df[media_df['predicted_label'] == 1].copy()\n",
        "parties_topic = parties_df[parties_df['predicted_label'] == 1].copy()\n",
        "\n",
        "# Group by month\n",
        "media_monthly = media_topic.groupby(media_topic['date'].dt.to_period('M')).size().reset_index(name='media_count')\n",
        "media_monthly['date'] = media_monthly['date'].dt.to_timestamp()\n",
        "\n",
        "parties_monthly = parties_topic.groupby(parties_topic['date'].dt.to_period('M')).size().reset_index(name='parties_count')\n",
        "parties_monthly['date'] = parties_monthly['date'].dt.to_timestamp()\n",
        "\n",
        "# Merge for plotting\n",
        "df_plot = pd.merge(media_monthly, parties_monthly, on='date', how='outer').sort_values('date')\n",
        "df_plot = df_plot.fillna(0)  # fill missing months with 0\n",
        "\n",
        "# Plot\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(df_plot['date'], df_plot['media_count'], label='Media', marker='o')\n",
        "plt.plot(df_plot['date'], df_plot['parties_count'], label='Parties', marker='s')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Number of On-topic Sentences')\n",
        "plt.title('On-topic Sentence Count per Month')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "FqeA3bBu7P0b",
        "outputId": "dcfb3c8c-597b-4c25-af0e-8ea987614fb3"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.2 Replication of Figure 1 in the Report."
      ],
      "metadata": {
        "id": "Ai57p8FRB4SY"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "It illustrates the salience of of media articles and partisan press statements for the relevant period."
      ],
      "metadata": {
        "id": "4BX2m1jUCIJA"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "# Example data: your existing aggregated DataFrame 'df_plot'\n",
        "# with columns: 'date', 'media_count', 'parties_count'\n",
        "\n",
        "# First, define your key event dates and labels\n",
        "events = {\n",
        "    '2023-02-28': 'Leak des GEG-Entwurfes',\n",
        "    '2023-04-19': 'Zustimmung Kabinet',\n",
        "    '2023-05-30': 'Koalitions-Aushandlungen',\n",
        "    '2023-06-14': 'Kompromiss des Kabinets',\n",
        "    '2023-07-05': 'Verfassungsgericht stoppt Gesetz',\n",
        "    '2023-09-08': 'Bundestag stimmt zu',\n",
        "    '2023-09-29': 'Bundesrat stimmt zu',\n",
        "    '2023-10-19': 'Offizielle Publikation'\n",
        "}\n",
        "\n",
        "# Convert string dates to pandas datetime for easier plotting\n",
        "event_dates = pd.to_datetime(list(events.keys()))\n",
        "\n",
        "plt.figure(figsize=(12, 6))\n",
        "\n",
        "# Plot your counts\n",
        "plt.plot(df_plot['date'], df_plot['media_count'], label='Medien Artikel', marker='o')\n",
        "plt.plot(df_plot['date'], df_plot['parties_count'], label='Parteien Presse Statements', marker='s')\n",
        "\n",
        "# Add vertical lines and labels\n",
        "for date, label in zip(event_dates, events.values()):\n",
        "    plt.axvline(date, color='grey', linestyle='--', alpha=0.7)\n",
        "    plt.text(date, plt.ylim()[1]*0.95, label, rotation=90, verticalalignment='top', fontsize=11, color='black')\n",
        "\n",
        "plt.xlabel('')\n",
        "plt.ylabel('Anzahl der Medien Artikel / Presse Statements')\n",
        "plt.title('')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.xlim(pd.to_datetime('2023-01-01'), df_plot['date'].max())  # Start x-axis at Jan 2023\n",
        "\n",
        "# === 📁 Save the figure as SVG and PDF ===\n",
        "plt.savefig('/content/drive/MyDrive/ZFP Projekt/Schlaglicht/Grafiken/GEG_salience.svg', format='svg', bbox_inches='tight')\n",
        "plt.savefig('/content/drive/MyDrive/ZFP Projekt/Schlaglicht/Grafiken/GEG_salience.pdf', format='pdf', bbox_inches='tight')\n",
        "\n",
        "# === Show the plot ===\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "IIHCNDro7UtP",
        "outputId": "eaf7c2bf-831c-469e-8f07-f4cdbfa73827"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 2.Overview figures (figure 2-4 in TR)"
      ],
      "metadata": {
        "id": "NFnlhIAXDcD3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Here we reproduce the remaining figures of the TR. Note: We use the media and party statement data with metadate here, that have been constructed in the group classification and climate ambition pipeline. In order to reproduce the metadata used here, consult the replication material \"group classification\" and \"climate ambition\"."
      ],
      "metadata": {
        "id": "VHgSG7B9Mrvx"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.1 Political parties"
      ],
      "metadata": {
        "id": "LGUkM-HBKjG5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "party_df = pd.read_excel('/content/drive/Combined_sentence_level/ml_predictions_metadata.xlsx')"
      ],
      "metadata": {
        "id": "G8ucMeH3KmCW"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from matplotlib.colors import Normalize\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 1. Aggregate data by party (excluding two parties)\n",
        "# --------------------------------------------------\n",
        "df = (\n",
        "    party_df\n",
        "    .loc[~party_df['partei'].isin(['Volt Deutschland', 'Werteunion'])]\n",
        "    .groupby('partei')\n",
        "    .agg(\n",
        "        sentences=('partei', 'size'),\n",
        "        pred_m_ratio=('pred_m', 'mean'),\n",
        "        pred_v_ratio=('pred_v', 'mean'),\n",
        "        pred_b_ratio=('pred_b', 'mean'),\n",
        "        pred_w_ratio=('pred_w', 'mean'),\n",
        "        climate_ambition=('climate_ambition_score', 'mean')\n",
        "    )\n",
        "    .reset_index()\n",
        ")\n",
        "\n",
        "# Eigentum: (Mieter − Eigentümer) * 100\n",
        "df['eigentum'] = (df['pred_m_ratio'] - df['pred_v_ratio']) * 100\n",
        "\n",
        "# Redistribution: (Bedürftige + Wohlhabende) * 100\n",
        "df['redistribution'] = (df['pred_b_ratio'] + df['pred_w_ratio']) * 100\n",
        "\n",
        "# Scale point sizes\n",
        "df['size_scaled'] = df['sentences'] / df['sentences'].max() * 1000\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 2. Plot\n",
        "# --------------------------------------------------\n",
        "norm = Normalize(vmin=-2, vmax=2)\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "sc = plt.scatter(\n",
        "    df['redistribution'],\n",
        "    df['eigentum'],\n",
        "    s=df['size_scaled'],\n",
        "    c=df['climate_ambition'],\n",
        "    cmap='RdYlGn',\n",
        "    norm=norm,\n",
        "    edgecolor='k',\n",
        "    alpha=0.8\n",
        ")\n",
        "\n",
        "# Zero lines\n",
        "plt.axhline(0, color='gray', linestyle='--', linewidth=1)\n",
        "plt.axvline(0, color='gray', linestyle='--', linewidth=1)\n",
        "\n",
        "# Party labels\n",
        "for _, row in df.iterrows():\n",
        "    if row['partei'] == 'Union':\n",
        "        # Keep Union label to the right\n",
        "        plt.text(\n",
        "            row['redistribution'] + 0.15,\n",
        "            row['eigentum'],\n",
        "            row['partei'],\n",
        "            fontsize=9,\n",
        "            ha='left',\n",
        "            va='center'\n",
        "        )\n",
        "    else:\n",
        "        # All other parties: label above\n",
        "        plt.text(\n",
        "            row['redistribution'],\n",
        "            row['eigentum'] + 0.25,\n",
        "            row['partei'],\n",
        "            fontsize=9,\n",
        "            ha='center',\n",
        "            va='bottom'\n",
        "        )\n",
        "\n",
        "\n",
        "# Colorbar\n",
        "cbar = plt.colorbar(sc)\n",
        "cbar.set_label('Klimapolitische Ambition im Gebäudesektor (Ø)')\n",
        "cbar.set_ticks([-2, -1, 0, 1, 2])\n",
        "\n",
        "# Size legend\n",
        "sizes_legend = [100, 500, 1000]\n",
        "labels_legend = [\n",
        "    '~100 Sätze',\n",
        "    '~500 Sätze',\n",
        "    '~1000 Sätze'\n",
        "]\n",
        "handles = [\n",
        "    plt.scatter([], [], s=size, color='gray', edgecolors='k', alpha=0.8)\n",
        "    for size in sizes_legend\n",
        "]\n",
        "\n",
        "plt.legend(\n",
        "    handles,\n",
        "    labels_legend,\n",
        "    title='Anzahl der Sätze zum GEG',\n",
        "    loc='upper right',\n",
        "    borderpad=1\n",
        ")\n",
        "\n",
        "# Axis limits\n",
        "plt.xlim(0, 12)\n",
        "plt.ylim(-6, 6)\n",
        "\n",
        "# Labels and layout\n",
        "plt.xlabel('Unterstützung Bedürftiger + Verantwortung Wohlhabende')\n",
        "plt.ylabel('Eigentümer                  -                      Mieter')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "\n",
        "# --- Save both SVG and PDF ---\n",
        "save_path_svg = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_party_scatter.svg'\n",
        "save_path_pdf = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_party_scatter.pdf'\n",
        "\n",
        "import os\n",
        "os.makedirs(os.path.dirname(save_path_svg), exist_ok=True)\n",
        "\n",
        "plt.savefig(save_path_svg, format='svg', bbox_inches='tight')\n",
        "plt.savefig(save_path_pdf, format='pdf', bbox_inches='tight')\n",
        "\n",
        "print(f\"✅ Figures saved to:\\n- {save_path_svg}\\n- {save_path_pdf}\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 859
        },
        "id": "hWLm2L24KwmU",
        "outputId": "f61300a2-e0e4-4393-9302-f6fa5853920d"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Figures saved to:\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_party_scatter.svg\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_party_scatter.pdf\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.2 Interessengruppen"
      ],
      "metadata": {
        "id": "YZH7fC27KzEB"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "As we have fully classified the entire interest group statements, we used the data from the full corpus to visualize the group appeals, and climate ambition scores below."
      ],
      "metadata": {
        "id": "U9g6UeeNyCdo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "\n",
        "# Create the DataFrame | Here data are taken from the full annotated interest group dataframe\n",
        "data = {\n",
        "    'Interessengruppe': ['Wohlfahrtsverbände', 'Immobilienverbände', 'kommunale und städtische Verbände', 'Energieanbieter', 'Mieterverbände', 'Erneuerbare Energien'],\n",
        "    'sentences': [307, 702, 774, 218, 294, 846],\n",
        "    'eigentum': [0.98, -1.85, -6.07, 1.37, 5.10, 0.83],\n",
        "    'redistribution': [8.14, 0.14, 0.39, 0.46, 5.44, 0.83],\n",
        "    'climate_ambition': [1.6, -0.5, 0.5, 1, 1.7, 1.6]\n",
        "}\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "# Normalize sentence counts for dot size\n",
        "df['size_scaled'] = df['sentences'] / df['sentences'].max() * 1000\n",
        "\n",
        "# Normalize climate_ambition for colormap (-2 to +2 mapped to 0 to 1)\n",
        "from matplotlib.colors import Normalize\n",
        "norm = Normalize(vmin=-2, vmax=2)\n",
        "\n",
        "\n",
        "# Plot\n",
        "plt.figure(figsize=(10, 8))\n",
        "sc = plt.scatter(\n",
        "    df['redistribution'],\n",
        "    df['eigentum'],\n",
        "    s=df['size_scaled'],\n",
        "    c=df['climate_ambition'],\n",
        "    cmap='RdYlGn',\n",
        "    norm=norm,\n",
        "    edgecolor='k',\n",
        "    alpha=0.8\n",
        ")\n",
        "\n",
        "\n",
        "# Highlight zero lines on x and y axis\n",
        "plt.axhline(0, color='gray', linestyle='--', linewidth=1)\n",
        "plt.axvline(0, color='gray', linestyle='--', linewidth=1)\n",
        "\n",
        "# Add labels:\n",
        "# Wohlfahrtsverbände and Mieterverbände: left of the dot\n",
        "# all others: right of the dot\n",
        "left_labels = ['Wohlfahrtsverbände', 'Mieterverbände']\n",
        "\n",
        "for _, row in df.iterrows():\n",
        "    if row['Interessengruppe'] in left_labels:\n",
        "        plt.text(\n",
        "            row['redistribution'] - 0.15,  # shift left\n",
        "            row['eigentum'],\n",
        "            row['Interessengruppe'],\n",
        "            fontsize=9,\n",
        "            ha='right',\n",
        "            va='center'\n",
        "        )\n",
        "    else:\n",
        "        plt.text(\n",
        "            row['redistribution'] + 0.15,  # shift right\n",
        "            row['eigentum'],\n",
        "            row['Interessengruppe'],\n",
        "            fontsize=9,\n",
        "            ha='left',\n",
        "            va='center'\n",
        "        )\n",
        "\n",
        "\n",
        "\n",
        "# Colorbar\n",
        "cbar = plt.colorbar(sc)\n",
        "cbar.set_label('Klimapolitische Ambition im Gebäudesektor (Ø)')\n",
        "cbar.set_ticks([-2, -1, 0, 1, 2])  # Directly use the real values\n",
        "\n",
        "\n",
        "# Add legend for dot size\n",
        "import matplotlib.patches as mpatches\n",
        "\n",
        "# Example sizes for legend (choose 3 representative sizes)\n",
        "sizes_legend = [100, 500, 1000]  # These correspond to scaled sizes\n",
        "labels_legend = ['~200 Sätze', '~500 Sätze', '~700 Sätze']  # Roughly from your data\n",
        "\n",
        "# Create dummy scatter points for legend\n",
        "handles = [plt.scatter([], [], s=size, color='gray', edgecolors='k', alpha=0.8) for size in sizes_legend]\n",
        "\n",
        "plt.legend(handles, labels_legend, title='Anzahl der Sätze zum GEG', labelspacing=1.5, loc='upper right', borderpad=1)\n",
        "\n",
        "# Labels\n",
        "plt.xlabel('Unterstützung Bedürftiger + Verantwortung Wohlhabende')\n",
        "plt.ylabel('Eigentümer                  -                      Mieter')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "plt.xlim(-1, 10)  # Set x-axis limits from 0 to 10\n",
        "\n",
        "\n",
        "# --- Save both SVG and PDF ---\n",
        "save_path_svg = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_interest_scatter.svg'\n",
        "save_path_pdf = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_interest_scatter.pdf'\n",
        "\n",
        "import os\n",
        "os.makedirs(os.path.dirname(save_path_svg), exist_ok=True)\n",
        "\n",
        "plt.savefig(save_path_svg, format='svg', bbox_inches='tight')\n",
        "plt.savefig(save_path_pdf, format='pdf', bbox_inches='tight')\n",
        "\n",
        "print(f\"✅ Figures saved to:\\n- {save_path_svg}\\n- {save_path_pdf}\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 859
        },
        "id": "Z-B55yLLK4IP",
        "outputId": "fae8baef-bfe6-43df-c24b-639cf0bb9c16"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Figures saved to:\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_interest_scatter.svg\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_interest_scatter.pdf\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.3 Media"
      ],
      "metadata": {
        "id": "V-a_2i0UK4rv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The representation of the group appeals and climate ambition for the media is based on the classification in the \"group classification\" and \"climate ambition classification\" reproduction files."
      ],
      "metadata": {
        "id": "5ngoJjN3yZJd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "media_df = pd.read_excel('/content/drive/media_ml_predictions_with_metadata_revised.xlsx')"
      ],
      "metadata": {
        "id": "d0ZOcHFcK8W5"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from matplotlib.colors import Normalize\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 1. Aggregate data by party (excluding two parties)\n",
        "# --------------------------------------------------\n",
        "df = (\n",
        "    media_df\n",
        "    .loc[~media_df['newspaper'].isin(['Volt Deutschland', 'Werteunion'])]\n",
        "    .groupby('newspaper')\n",
        "    .agg(\n",
        "        sentences=('newspaper', 'size'),\n",
        "        pred_m_ratio=('pred_m', 'mean'),\n",
        "        pred_v_ratio=('pred_v', 'mean'),\n",
        "        pred_b_ratio=('pred_b', 'mean'),\n",
        "        pred_w_ratio=('pred_w', 'mean'),\n",
        "        climate_ambition=('climate_ambition_score', 'mean')\n",
        "    )\n",
        "    .reset_index()\n",
        ")\n",
        "\n",
        "# Eigentum: (Mieter − Eigentümer) * 100\n",
        "df['eigentum'] = (df['pred_m_ratio'] - df['pred_v_ratio']) * 100\n",
        "\n",
        "# Redistribution: (Bedürftige + Wohlhabende) * 100\n",
        "df['redistribution'] = (df['pred_b_ratio'] + df['pred_w_ratio']) * 100\n",
        "\n",
        "# Scale point sizes\n",
        "df['size_scaled'] = df['sentences'] / df['sentences'].max() * 1000\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 2. Plot\n",
        "# --------------------------------------------------\n",
        "norm = Normalize(vmin=-2, vmax=2)\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "sc = plt.scatter(\n",
        "    df['redistribution'],\n",
        "    df['eigentum'],\n",
        "    s=df['size_scaled'],\n",
        "    c=df['climate_ambition'],\n",
        "    cmap='RdYlGn',\n",
        "    norm=norm,\n",
        "    edgecolor='k',\n",
        "    alpha=0.8\n",
        ")\n",
        "\n",
        "# Zero lines\n",
        "plt.axhline(0, color='gray', linestyle='--', linewidth=1)\n",
        "plt.axvline(0, color='gray', linestyle='--', linewidth=1)\n",
        "\n",
        "# Party labels\n",
        "for _, row in df.iterrows():\n",
        "    if row['newspaper'] == 'Union':\n",
        "        # Keep Union label to the right\n",
        "        plt.text(\n",
        "            row['redistribution'] + 0.15,\n",
        "            row['eigentum'],\n",
        "            row['newspaper'],\n",
        "            fontsize=9,\n",
        "            ha='left',\n",
        "            va='center'\n",
        "        )\n",
        "    else:\n",
        "        # All other parties: label above\n",
        "        plt.text(\n",
        "            row['redistribution'],\n",
        "            row['eigentum'] + 0.25,\n",
        "            row['newspaper'],\n",
        "            fontsize=9,\n",
        "            ha='center',\n",
        "            va='bottom'\n",
        "        )\n",
        "\n",
        "\n",
        "# Colorbar\n",
        "cbar = plt.colorbar(sc)\n",
        "cbar.set_label('Klimapolitische Ambition im Gebäudesektor (Ø)')\n",
        "cbar.set_ticks([-2, -1, 0, 1, 2])\n",
        "\n",
        "# Size legend\n",
        "sizes_legend = [100, 500, 1000]\n",
        "labels_legend = [\n",
        "    '~100 Sätze',\n",
        "    '~500 Sätze',\n",
        "    '~1000 Sätze'\n",
        "]\n",
        "handles = [\n",
        "    plt.scatter([], [], s=size, color='gray', edgecolors='k', alpha=0.8)\n",
        "    for size in sizes_legend\n",
        "]\n",
        "\n",
        "plt.legend(\n",
        "    handles,\n",
        "    labels_legend,\n",
        "    title='Anzahl der Sätze zum GEG',\n",
        "    loc='upper right',\n",
        "    borderpad=1\n",
        ")\n",
        "\n",
        "# Axis limits\n",
        "plt.xlim(0, 12)\n",
        "plt.ylim(-6, 6)\n",
        "\n",
        "# Labels and layout\n",
        "plt.xlabel('Unterstützung Bedürftiger + Verantwortung Wohlhabende')\n",
        "plt.ylabel('Eigentümer                  -                      Mieter')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "\n",
        "# --- Save both SVG and PDF ---\n",
        "save_path_svg = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_nogroups_scatter.svg'\n",
        "save_path_pdf = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_nogroups_scatter.pdf'\n",
        "\n",
        "import os\n",
        "os.makedirs(os.path.dirname(save_path_svg), exist_ok=True)\n",
        "\n",
        "plt.savefig(save_path_svg, format='svg', bbox_inches='tight')\n",
        "plt.savefig(save_path_pdf, format='pdf', bbox_inches='tight')\n",
        "\n",
        "print(f\"✅ Figures saved to:\\n- {save_path_svg}\\n- {save_path_pdf}\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 859
        },
        "id": "lusorhbpK9Fv",
        "outputId": "d45ad492-50c8-48f2-a227-3eeacb349747"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Figures saved to:\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_nogroups_scatter.svg\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_nogroups_scatter.pdf\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We group the newspapers"
      ],
      "metadata": {
        "id": "TNKfCrIuMOPu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Unique newspaper names\n",
        "unique_newspapers = media_df['newspaper'].unique()\n",
        "print(unique_newspapers)\n",
        "\n",
        "# Optional: sorted list\n",
        "print(sorted(unique_newspapers))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lw16SZ5hMLFl",
        "outputId": "23d4ea6e-df02-4f40-ad73-22629ea19213"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<ArrowStringArray>\n",
            "[       'bild.de',        'BILD.de',      'BILD Bund',      'Bild plus',\n",
            "            'FAZ',        'FAZ.NET',   'FOCUS Online',            'taz',\n",
            "    'DER SPIEGEL', 'Spiegel Online',             'SZ',      'SZ Online',\n",
            "    'WELT Online',           'WELT']\n",
            "Length: 14, dtype: str\n",
            "['BILD Bund', 'BILD.de', 'Bild plus', 'DER SPIEGEL', 'FAZ', 'FAZ.NET', 'FOCUS Online', 'SZ', 'SZ Online', 'Spiegel Online', 'WELT', 'WELT Online', 'bild.de', 'taz']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Mapping from original newspaper names to new 'Medien' groups\n",
        "newspaper_map = {\n",
        "    'BILD Bund': 'Bild',\n",
        "    'BILD.de': 'Bild',\n",
        "    'Bild plus': 'Bild',\n",
        "    'bild.de': 'Bild',\n",
        "    'SZ': 'SZ',\n",
        "    'SZ Online': 'SZ',\n",
        "    'taz': 'taz',\n",
        "    'DER SPIEGEL': 'Spiegel',\n",
        "    'Spiegel Online': 'Spiegel',\n",
        "    'FAZ': 'FAZ',\n",
        "    'FAZ.NET': 'FAZ',\n",
        "    'FOCUS Online': 'Focus',\n",
        "    'WELT': 'Welt',\n",
        "    'WELT Online': 'Welt'\n",
        "}\n",
        "\n",
        "# Create a new column 'Medien' with standardized names\n",
        "media_df['Medien'] = media_df['newspaper'].replace(newspaper_map)\n",
        "\n",
        "# Check the result\n",
        "print(media_df[['newspaper', 'Medien']].drop_duplicates().sort_values('Medien'))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-VAGYHlEMN1w",
        "outputId": "d3fb9073-62c3-418f-bbea-050a50e91629"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "            newspaper   Medien\n",
            "0             bild.de     Bild\n",
            "66            BILD.de     Bild\n",
            "173         BILD Bund     Bild\n",
            "1012        Bild plus     Bild\n",
            "3826              FAZ      FAZ\n",
            "11645         FAZ.NET      FAZ\n",
            "17642    FOCUS Online    Focus\n",
            "35978              SZ       SZ\n",
            "45254       SZ Online       SZ\n",
            "33601     DER SPIEGEL  Spiegel\n",
            "35213  Spiegel Online  Spiegel\n",
            "54530     WELT Online     Welt\n",
            "54562            WELT     Welt\n",
            "27057             taz      taz\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from matplotlib.colors import Normalize\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 1. Aggregate data by party (excluding two parties)\n",
        "# --------------------------------------------------\n",
        "df = (\n",
        "    media_df\n",
        "    .loc[~media_df['Medien'].isin(['Volt Deutschland', 'Werteunion'])]\n",
        "    .groupby('Medien')\n",
        "    .agg(\n",
        "        sentences=('Medien', 'size'),\n",
        "        pred_m_ratio=('pred_m', 'mean'),\n",
        "        pred_v_ratio=('pred_v', 'mean'),\n",
        "        pred_b_ratio=('pred_b', 'mean'),\n",
        "        pred_w_ratio=('pred_w', 'mean'),\n",
        "        climate_ambition=('climate_ambition_score', 'mean')\n",
        "    )\n",
        "    .reset_index()\n",
        ")\n",
        "\n",
        "# Eigentum: (Mieter − Eigentümer) * 100\n",
        "df['eigentum'] = (df['pred_m_ratio'] - df['pred_v_ratio']) * 100\n",
        "\n",
        "# Redistribution: (Bedürftige + Wohlhabende) * 100\n",
        "df['redistribution'] = (df['pred_b_ratio'] + df['pred_w_ratio']) * 100\n",
        "\n",
        "# Scale point sizes\n",
        "df['size_scaled'] = df['sentences'] / df['sentences'].max() * 1000\n",
        "\n",
        "# --------------------------------------------------\n",
        "# 2. Plot\n",
        "# --------------------------------------------------\n",
        "norm = Normalize(vmin=-2, vmax=2)\n",
        "\n",
        "plt.figure(figsize=(10, 8))\n",
        "sc = plt.scatter(\n",
        "    df['redistribution'],\n",
        "    df['eigentum'],\n",
        "    s=df['size_scaled'],\n",
        "    c=df['climate_ambition'],\n",
        "    cmap='RdYlGn',\n",
        "    norm=norm,\n",
        "    edgecolor='k',\n",
        "    alpha=0.8\n",
        ")\n",
        "\n",
        "# Zero lines\n",
        "plt.axhline(0, color='gray', linestyle='--', linewidth=1)\n",
        "plt.axvline(0, color='gray', linestyle='--', linewidth=1)\n",
        "\n",
        "# --------------------------------------------------\n",
        "# Media labels with custom placement\n",
        "# --------------------------------------------------\n",
        "labels_above = ['SZ', 'taz', 'Spiegel', 'FAZ']\n",
        "labels_right = ['Bild', 'Focus', 'Welt']\n",
        "\n",
        "for _, row in df.iterrows():\n",
        "    if row['Medien'] in labels_right:\n",
        "        # Label to the right\n",
        "        plt.text(\n",
        "            row['redistribution'] + 0.2,\n",
        "            row['eigentum'],\n",
        "            row['Medien'],\n",
        "            fontsize=9,\n",
        "            ha='left',\n",
        "            va='center'\n",
        "        )\n",
        "    elif row['Medien'] in labels_above:\n",
        "        # Label above\n",
        "        plt.text(\n",
        "            row['redistribution'],\n",
        "            row['eigentum'] + 0.3,\n",
        "            row['Medien'],\n",
        "            fontsize=9,\n",
        "            ha='center',\n",
        "            va='bottom'\n",
        "        )\n",
        "\n",
        "\n",
        "# Colorbar\n",
        "cbar = plt.colorbar(sc)\n",
        "cbar.set_label('Klimapolitische Ambition im Gebäudesektor (Ø)')\n",
        "cbar.set_ticks([-2, -1, 0, 1, 2])\n",
        "\n",
        "# Size legend\n",
        "sizes_legend = [100, 500, 1000]\n",
        "labels_legend = [\n",
        "    '~2.000 Sätze',\n",
        "    '~10.000 Sätze',\n",
        "    '~20.000 Sätze'\n",
        "]\n",
        "handles = [\n",
        "    plt.scatter([], [], s=size, color='gray', edgecolors='k', alpha=0.8)\n",
        "    for size in sizes_legend\n",
        "]\n",
        "\n",
        "plt.legend(\n",
        "    handles,\n",
        "    labels_legend,\n",
        "    title='Anzahl der Sätze zum GEG',\n",
        "    loc='upper right',\n",
        "    borderpad=1\n",
        ")\n",
        "\n",
        "# Axis limits\n",
        "plt.xlim(0, 12)\n",
        "plt.ylim(-6, 6)\n",
        "\n",
        "# Labels and layout\n",
        "plt.xlabel('Unterstützung Bedürftiger + Verantwortung Wohlhabende')\n",
        "plt.ylabel('Eigentümer                  -                      Mieter')\n",
        "plt.grid(True)\n",
        "plt.tight_layout()\n",
        "\n",
        "# --- Save both SVG and PDF ---\n",
        "save_path_svg = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_groups_scatter.svg'\n",
        "save_path_pdf = '/content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_groups_scatter.pdf'\n",
        "\n",
        "import os\n",
        "os.makedirs(os.path.dirname(save_path_svg), exist_ok=True)\n",
        "\n",
        "plt.savefig(save_path_svg, format='svg', bbox_inches='tight')\n",
        "plt.savefig(save_path_pdf, format='pdf', bbox_inches='tight')\n",
        "\n",
        "print(f\"✅ Figures saved to:\\n- {save_path_svg}\\n- {save_path_pdf}\")\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 859
        },
        "id": "VcRi_4XBMUvv",
        "outputId": "a28969dd-ccb9-4144-9400-80f4cf26feb3"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "✅ Figures saved to:\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_groups_scatter.svg\n",
            "- /content/drive/MyDrive/ZFP Projekt/Technical Report/Grafiken/GEG_media_groups_scatter.pdf\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Amount of articles per media outlet"
      ],
      "metadata": {
        "id": "0-_nZjbeMbNT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "newspaper_counts = media_df['Medien'].value_counts()\n",
        "print(newspaper_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xCttArIOMdc3",
        "outputId": "df6ec8a1-e318-4242-c6dd-c8b6f2ef0466"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Medien\n",
            "SZ         18552\n",
            "Welt       15203\n",
            "FAZ        13816\n",
            "Focus       9415\n",
            "taz         6544\n",
            "Bild        3826\n",
            "Spiegel     2377\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    }
  ]
}